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- Pooling is the grouping together of units or assets for a certain purpose1234.Examples of pooling are1234:
- Asset-backed securities, where a pool of underlying assets backs the income payments of a security1.
- Tissue samples, where a pool of single cells are processed together2.
- Pooling layers, where a pool of pixels on a feature map are reduced to a single value by a function3.
- Cash pooling, where a pool of bank balances of different companies are consolidated4.
Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Pooling is the grouping together of assets, and related strategies for minimizing risk. For example: Asset-backed securities (ABS) is a security whose income payments are backed by a specified pool of underlying assets. Mortgage-backed securities (MBS) is a type of Asset-backed security whereas the underlying assets are mortgages.en.wikipedia.org/wiki/Pooling_(resource_managem…We say that samples are pooled when units that might be measured separately are processed together in such a way that the separate measurements can no longer be determined. For example, a tissue sample might be considered a pool of single cells.online.stat.psu.edu/stat555/node/75/For example, a pooling layer applied to a feature map of 6×6 (36 pixels) will result in an output pooled feature map of 3×3 (9 pixels). The pooling operation is specified, rather than learned. Two common functions used in the pooling operation are: Average Pooling: Calculate the average value for each patch on the feature map.
machinelearningmastery.com/pooling-layers-for-co…Let us look at this cash pooling example to understand the concept better. Suppose Amacon Group comprises one parent (Company X) company and four subsidiaries (Company D, E, F, and G). All of these companies’ bank balances change owing to business activities.www.wallstreetmojo.com/cash-pooling/ - People also ask
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WEBJul 5, 2019 · A pooling layer is a new layer added after the convolutional layer. Specifically, after a nonlinearity (e.g. ReLU) has been applied to …
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